Mani Srivastava
About
In The Last Decade
Mani Srivastava
503 papers receiving 27.8k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Computer Networks and Communications 19.3k
- Electrical and Electronic Engineering 13.6k
- Computer Vision and Pattern Recognition 3.6k
- Artificial Intelligence 3.6k
- Biomedical Engineering 2.3k
Countries citing papers authored by Mani Srivastava
This map shows the geographic impact of Mani Srivastava's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mani Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mani Srivastava more than expected).
Fields of papers citing papers by Mani Srivastava
This network shows the impact of papers produced by Mani Srivastava. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mani Srivastava. The network helps show where Mani Srivastava may publish in the future.
Co-authorship network of co-authors of Mani Srivastava
This figure shows the co-authorship network connecting the top 25 collaborators of Mani Srivastava. A scholar is included among the top collaborators of Mani Srivastava based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mani Srivastava. Mani Srivastava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods | 59 |
| 10 | 3 | |
| 11 | 29 | |
| 12 | 54 | |
| 13 | 52 | |
| 14 | 7 | |
| 15 | 105 | |
| 16 | Network System Challenges in Selective Sharing and Verification for Personal, Social, and Urban-Scale Sensing Applications | 13 |
| 17 | Heliomote: enabling long-lived sensor networks through solar energy harvesting (Demo) | 5 |
| 18 | Deep Vision: Experiments in Exploiting Vision in Wireless Sensor Networks | 4 |
| 19 | Cyclops: In Situ Image Sensing and Interpretation in Wireless Sensor Networks | 22 |
| 20 | Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing | 38 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.